On-line novelty detection for non-stationary classes using a modified support vector machine.
Fatih CamciRatna Babu ChinnamPublished in: Neural Networks and Computational Intelligence (2004)
Keyphrases
- non stationary
- novelty detection
- concept drift
- support vector machine
- text filtering
- anomaly detection
- autoregressive
- svm classifier
- adaptive algorithms
- multi class
- empirical mode decomposition
- support vector
- feature selection
- training data
- machine learning
- feature vectors
- class labels
- classification algorithm
- decision boundary
- training set
- data mining
- image segmentation
- multi dimensional
- multiresolution
- white noise
- pattern recognition